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Ett smartare Sverige Sacos kongress 2025 Verksamhets­ rapport januari–juni 2025 1/14 Uppföljning av verksamheten första halvåret 2025 Sammanfattning Under det första halvåret 2025 har Saco bedrivit aktivt påverkansarbete och mediegenomslaget har varit starkt. Därutöver har nya aktiviteter genomförts för att ytterligare stärka samverkan och stöd inom federationen. Rapporter, remissvar, debattartikl

https://www.saco.se/globalassets/bilder-video-och-dokument/evenemang/kongresser/sacos-kongress-2025/handlingar/verksamhetsrapport-januari-juni-2025.pdf - 2026-07-16

https://www.thm.lu.se/internt/staff/when-you-are-away-work - 2026-07-15

More reliable and faster prediction methods are needed to interpret enormous amounts of data generated by sequencing and genome projects. We have developed a new computational tool, PON-P2, for classification of amino acid substitutions in human proteins. The method is a machine learning-based classifier and groups the variants into pathogenic, neutral and unknown classes, on the basis of random f

The current study was made to develop a biosensor based on a single-chamber microbial fuel cell in which anaerobes were retained in the anode compartment separated from the cathode compartment by a proton exchange membrane. In the sensor a replaceable anaerobic consortium was used for analyzing biodegradable organic matter. The anaerobes acted as biocatalysts in oxidizing organic matter and transf

In this paper we address absolute camera pose estimation. An efficient (and standard) way to solve this problem, is to use sparse keypoint correspondences. In many cases point features are not available, or are unstable over time and viewing conditions. We propose a framework based on silhouettes of quadric surfaces, with special emphasis on cylinders. We provide mathematical analysis of the probl

Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-based approaches address this issue by shifting computationally expensive reasoning through contacts t

Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi

A fast spectral approximation of a narrow-band computer model is proposed for prediction of thermal radiation in a generally nonisothermal and nonhomogeneous combustion environment. The approximation is made by assuming each discretized spatial element along a line of sight to be locally "gray" within each small narrow-band spectrum interval. For each spatial element, the local equivalent spectral

Let C be a simple(1) polygonal chain of n edges in the plane, and let p and q be two arbitrary points on C. The detour of C on (p, q) is defined to be the length of the subchain of C that connects p with q, divided by the Euclidean distance between p and q. Given an epsilon >0, we compute in time O((1)/(epsilon) n log n) a pair of points on which the chain makes a detour at least 1/(1 + epsilon) t